Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

TA24

n TA24 North Bldg 131B Information and Operations Management Sponsored: EBusiness Sponsored Session Chair: Rakesh Reddy Mallipeddi, Texas A&M University, College Station, TX, 77843-4217, United States 1 - Buyer and Supplier Perspectives on the Transactional Use of Digital Technologies: Two Sides of the Same Coin? Nils Van den Steen, Ghent University, Ghent, 9100, Belgium, Willem Standaert, Steve Muylle, Amit Basu Prior research has shown that the use of digital technologies can improve the performance of processes involved in supply-chain transactions in a variety of industries. While their impact has been investigated for the procurement process, process-oriented research on the effect of digitization for sales is limited. In addition, both perspectives have not been examined in an integrated and comprehensive way. This study adds to the literature by taking a bilateral perspective on the process performance impact of buyer-supplier transactional use of digital technologies. 2 - How Much to Open, How Fast to Fix and Develop? Impacts of Open Innovation on New Software Development and Maintenance Rakesh Mallipeddi, Texas A&M University, 320 Wehner - 4217, Mays Business School, Dept of Info&Operations, College Station, TX, 77843-4217, United States, Emre M. Demirezen, Subodha Kumar, Ram Gopal Proprietary software vendors have begun to emulate the open source software community in opening up part of their software to accelerate new product development. In this research, we develop a data-driven model to analytically analyze how open source software, a form of open innovation, affects vendors’ software maintenance and new product development strategies. 3 - Optimizing Surge Pricing Dynamically in Ride Sharing Platforms: A Differential Games Approach Samayita Guha, Temple University, Philadelphia, PA, United States, Emre M. Demirezen, Subodha Kumar The entry of ride-sharing platforms has caused disruptive changes in transportation industry. We use a differential game theory approach to optimize surge pricing for these platforms. We consider how consumers’ perception and wait time dynamically influence demand. 4 - Incentive to Offer Ad Removal in Digital Content Lin Hao, University of Notre Dame, 351 Mendoza College Of Business, Notre Dame, IN, 46556, United States In this paper, we develop a stylized game-theoretic model to study in which market conditions a content provider has the incentive to provide ad removal as an option to its content users. The preliminary results have shown that both the supply-side and demand-side factors playing important roles in determining the equilibrium results. n TA25 North Bldg 131C Best Student Paper Competition – Session III Sponsored: Service Science Sponsored Session Chair: Aly Megahed, IBM Research-Almaden, San Jose, CA, 95123, United States 1 - Service Science Best Student Paper Competition Aly Megahed, IBM Research - Almaden, San Jose, CA, 95123, United States This session consists of finalists presentations (judged by an expert panel) to determine the Best Student Paper Award for the Service Science Cluster.

n TA26 North Bldg 132A

Joint Session Service Science/Practice Curated: Improving Service Operations Using Data Analytics Sponsored: Service Science Sponsored Session Chair: Weiwei Chen, Rutgers Business School, Piscataway, NJ, 08854, United States 1 - The Impact of Mobile Payment Channel on Consumer Consumption: Evidence from Alipay Yuqian Xu, University of Illinois at Urbana-Champaign, Wohlers Hall 487, 1206 S. 6th St, Champaign, IL, 61820, United States, Anindya Ghose, Binqing Xiao The rapid development of mobile technology has introduced a new channel for consumer consumption. In this paper, we investigate how mobile payment channel affects other bank payment channels. We utilize a unique data set from one of the largest bank in China, which contains the consumer credit card consumption from online, offline, and mobile payment channels. We find the transaction amount increases around 2.4% after Alipay adoption, and the transaction frequency increases around 23.5%. Furthermore, we find Alipay channel acts as a substitute for the offline (physical card) channel, and a complement for the online banking channel. 2 - Improving Patient Flow in the Presence of Heterogeneous Patient Types Woo-Hyung Cho, Cornell University, Ithaca, NY, United States, Shane Henderson, David B. Shmoys Outpatient medical facilities face a challenging scheduling and resource allocation problem given heterogeneous streams of patients competing for the same resources. We are working with a large breast imaging facility in NYC, where different patient types experience a nested service requirement. Through analyses of patient timestamp data, we identify potential bottlenecks in the system and examine strategies to systematically take advantage of underutilized resources. We use a data-driven discrete-event simulation model to measure the impact of implementing our proposed strategy under various scenarios. 3 - The Impact of Competition on Hospitals’ Progression Towards Meaningful Use Varun Gupta, Penn State Erie, The Behrend College, 5101 Jordan Rd, Burke 281, Penn State Erie, The Behrend College, Erie, PA, 16563, United States, Xin Ding, Xin Ding, Ozgun Demirag In this paper, we examine how competition in local hospital service area drives hospitals’ decision to move along the meaningful use stage model with performance data from 2011 to 2015. Additionally, we develop a series of hypotheses based on game theory and test the hypotheses with the performance data in econometric models. 4 - Rebalancing Bike Sharing Systems: A Data-driven Approach Weiwei Chen, Rutgers Business School, 100 Rockafeller Road, Supply Chain Management, Piscataway, NJ, 08854, United States, Junming Liu, Leilei Sun, Hui Xiong Bike sharing systems aim at providing the missing links in public transportation systems and have become increasingly popular worldwide. Due to geographical and temporal unbalance of bike usage demand, bikes need to be reallocated among stations so as to maintain a high service level of the system. This talk introduces a data-driven hierarchical optimization methodology, including bike demand predictors and a clustering-based decomposition optimizer, in solving this daily operational problem of bike sharing systems. Numerical experiments using data from NYC, Chicago and Boston show the accuracy of the demand predictors and the effectiveness of the optimizer. n TA27 North Bldg 132B Keeping it Real: In-demand Skills in BI Curricula Sponsored: Education (INFORMED) Sponsored Session Chair: Ruben A. Mendoza, Saint Joseph’s University, Philadelphia, PA, 19131, United States 1 - The Rise of Data Literacy Jordan Morrow, Qlik, Bountiful, UT, United States With the growing desire of organizations to utilize data to drive insight and decisions, individuals need to be empowered with skills in data literacy. Join this session to learn about the world of data literacy and how individuals and organizations can help drive skills to help everyone succeed in the analytics economy.

252